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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 7-RES-JB
    11. 19511
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    Explanations

    mentions of specific types of housing units, particularly three-bedroom units and condominiums

    oai_token-act-pair · gpt-3.5-turbo

    references to housing availability and market conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    £ı
    -0.90
    REDACTED
    -0.84
    ĸļ
    -0.78
     polio
    -0.77
     interoper
    -0.75
     Paraly
    -0.74
     Ney
    -0.72
     doping
    -0.72
     protocols
    -0.71
    mone
    -0.71
    POSITIVE LOGITS
     condos
    1.24
     apartments
    1.17
     mortgages
    1.13
     foreclosure
    1.12
     condo
    1.12
     mortgage
    1.08
     housing
    1.07
     mortg
    1.05
     renting
    1.04
     rental
    1.04
    Activations Density 0.367%

    No Known Activations